Director of Machine Learning Engineering (ML Engineering Director)
Location: Broomfield, CO
Job Type: Contract To Hire
Company: IDR
Category: Development and Architecture
Job Description Apply Now
The Director of Machine Learning Engineering (ML Engineering Director) plays a pivotal role in driving the development and operational success of advanced AI and machine learning solutions in a dynamic, high-reliability environment. This full-time opportunity places you at the forefront of innovation, responsible for overseeing the end-to-end engineering strategy, technical execution, and cross-functional alignment necessary to deliver impactful AI/ML systems. As the leader of the AI/ML engineering team, you will work in tandem with engineering, product, and business units to deliver production-grade solutions that drive measurable business outcomes and maintain high standards of reliability and performance.
In this role, the Director of Machine Learning Engineering (ML Engineering Director) will drive technical innovation and operational excellence by developing frameworks, best practices, and scalable architectures that support the entire lifecycle of AI/ML initiatives. Your expertise in MLOps, model governance, and cross-functional leadership will be essential as you collaborate with stakeholders to ensure that machine learning solutions are robust, efficient, and strategically aligned with organizational objectives. This position is designed for experienced professionals who have demonstrated success in leading teams and delivering AI/ML systems into production, coupled with a passion for fostering collaboration and continuous improvement.
As part of a forward-thinking organization, the Director of Machine Learning Engineering (ML Engineering Director) will have the opportunity to build and scale MLOps capabilities, including feature stores, model registries, CI/CD for models, and advanced observability tools. Your leadership will help shape the engineering culture and drive the adoption of innovative technologies that underpin the organization’s competitive advantage. The company values a collaborative and inclusive work environment, offering the chance to work on impactful projects that push the boundaries of what is possible with AI and machine learning technology.
Director of Machine Learning Engineering (ML Engineering Director) - Summary- Lead the engineering strategy for AI/ML systems, ensuring their reliability, scalability, and business alignment.
- Drive the development, deployment, and operationalization of advanced machine learning solutions.
- Collaborate with engineering, product, and business teams to deliver solutions that meet organizational goals.
- Foster a culture of technical excellence, innovation, and continuous improvement within the AI/ML engineering team.
- Oversee the end-to-end delivery of AI/ML systems, from research and development through to deployment and operational performance.
- Lead the technical execution of monitoring, reliability engineering, retraining, and cost management for AI/ML workflows.
- Design and scale MLOps capabilities, including feature stores, model registries, CI/CD pipelines for models, and observability frameworks to improve system efficiency and reproducibility.
- Partner with cross-functional stakeholders to ensure AI/ML solutions are strategically aligned with product and business priorities.
- Establish best practices for model governance, deployment, and lifecycle management.
- Provide leadership and mentorship to engineering teams, fostering skills development and technical growth.
- Champion the adoption of innovative engineering tools and methodologies to enhance team productivity and solution quality.
- Highly competitive compensation commensurate with experience.
- Comprehensive benefits package, including health, dental, vision, and retirement plans.
- Opportunities for professional growth and leadership development.
- Inclusive, collaborative work environment focused on innovation and technical excellence.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
- Minimum of 10 years of engineering experience, with at least 6 years focused on delivering AI/ML solutions.
- At least 3 years of experience in a technical leadership role, managing teams and overseeing project delivery.
- Demonstrated success in taking AI/ML systems into production and managing their operational performance, including monitoring, reliability, retraining, and cost optimization.
- Proven ability to lead cross-functional execution and communicate effectively with engineering, product, and business stakeholders.
- Strategic thinker with a strong technical background in machine learning engineering and MLOps.
- Exceptional leadership skills with a track record of building and guiding high-performing teams.
- Excellent communication and interpersonal abilities for working effectively with diverse stakeholders.
- Proactive in driving innovation and embracing emerging technologies to solve complex problems.
- Committed to fostering a culture of inclusivity, collaboration, and continuous learning.
- This is a full-time opportunity offering the chance to make a significant impact within a leading organization.
- Enjoy the benefits of working in a thriving professional community, with access to leading-edge resources and an environment that supports career advancement.
- Applicants of all backgrounds are encouraged to apply. The company is committed to equal employment opportunity and adheres to all EEO and affirmative action requirements.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.
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